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Deliver Data at Scale,
at the Edge and in the Cloud
Francesco Baldassarri
Amsterdam | April 2-3, 2019
Nice to meet you!
Francesco Baldassarri
Developer Relations Manager and Technical Evangelist
email: francesco@francesco.wo...
Deliver Data...
Devices
Fleet
Deliver Data...
Devices
Fleet
“16 Million units by 2020”
Deliver Data...
Devices
Fleet
Gateways
Data
Deliver Data...
Devices
Fleet
Gateways
Data
Terabyte…
...Petabyte…
...Exabyte!!!
Deliver Data...
Devices
Fleet
Gateways
Data Data
Cloud
Infrastructure
Storage
Network
Nodes
Analytics
AI / ML / DL
Ingesti...
...at Scale...
Cloud
Infrastructure
Storage
Network
Nodes
CPUs / GPUs
...at Scale...
Cloud
Infrastructure
Storage
Network
Nodes
...requesting
more and more
cloud
resources.
CPUs / GPUs
...at Scale...
Cloud
Infrastructure
Storage
CPUs / GPUs
Network
Nodes
...at the Edge...
Bringing onboard intelligence
of Cloud to the IoT devices...
Devices
Fleet
Edge
Techs
Tracking
Neural Network
Deep Learning
CPU / GPU / TPU
...at the Edge...
● ML inference at the Edg...
Devices
Fleet
Edge
Techs
Tracking
Neural Network
Deep Learning
CPU / GPU / TPU
...at the Edge...
Intel's Myriad™ X VPU
AAE...
Devices
Fleet
Gateways
LESS
Data
Cloud
Infrastructure
Storage
Network
Nodes
Analytics
AI / ML / DL
Ingestion
Functions
Edg...
...and in the Cloud
Fetch
Clean
Prepare
Train Model
Evaluate
Model
Monitor /
Prediction /
Projection
Tune
Model
Parameters...
Devices
Fleet
Gateways
Data
Cloud
Infrastructure
Storage
Network
Nodes
Analytics
AI / ML / DL
Ingestion
Presentation
Funct...
Devices
Fleet
Gateways
Data
Cloud
Infrastructure
Storage
CPUs / GPUs
Network
Nodes
Analytics
AI / ML / DL
Ingestion
Presen...
eu.mouser.com/new/google/edge-tpu-accelerator
eu.mouser.com/new/google/edge-tpu-dev-board
eu.mouser.com/intel-neural-compu...
and Enjoy Codemotion Amsterdam
That’s all, Folks!
Thank You
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Codemotion Amsterdam 2019 - Keynote - Francesco Baldassarri

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IoT revolution is ended. Thanks to hardware improvement, building an intelligent ecosystem is easier than never before for both startups and large-scale enterprises. The real challenge is now to connect, process, store and analyze data: in the cloud, but also, at the edge. We’ll give a quick look on frameworks that aggregate dispersed devices data into a single global optimized system allowing to improve operational efficiency, to predict maintenance, to track asset in real-time, to secure cloud-connected devices and much more.

Veröffentlicht in: Geräte & Hardware
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Codemotion Amsterdam 2019 - Keynote - Francesco Baldassarri

  1. 1. Deliver Data at Scale, at the Edge and in the Cloud Francesco Baldassarri Amsterdam | April 2-3, 2019
  2. 2. Nice to meet you! Francesco Baldassarri Developer Relations Manager and Technical Evangelist email: francesco@francesco.world Twitter/Telegram: @francesco_1985​ it.linkedin.com/in/fbaldassarri​
  3. 3. Deliver Data... Devices Fleet
  4. 4. Deliver Data... Devices Fleet “16 Million units by 2020”
  5. 5. Deliver Data... Devices Fleet Gateways Data
  6. 6. Deliver Data... Devices Fleet Gateways Data Terabyte… ...Petabyte… ...Exabyte!!!
  7. 7. Deliver Data... Devices Fleet Gateways Data Data Cloud Infrastructure Storage Network Nodes Analytics AI / ML / DL Ingestion Functions Data Presentation Application CPUs / GPUs
  8. 8. ...at Scale... Cloud Infrastructure Storage Network Nodes CPUs / GPUs
  9. 9. ...at Scale... Cloud Infrastructure Storage Network Nodes ...requesting more and more cloud resources. CPUs / GPUs
  10. 10. ...at Scale... Cloud Infrastructure Storage CPUs / GPUs Network Nodes
  11. 11. ...at the Edge... Bringing onboard intelligence of Cloud to the IoT devices...
  12. 12. Devices Fleet Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU ...at the Edge... ● ML inference at the Edge ● Dedicated TPUTM and VPU ● Local compute ● Run on Android Things and on various GNU/Linux-based OS ● Support enhanced security through hardware-root-of-trust ● Securely connected devices to Cloud providers ● Works seamlessly with cloud for hassle-free device provisioning ● Serverless scalability
  13. 13. Devices Fleet Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU ...at the Edge... Intel's Myriad™ X VPU AAEON Up AI Edge Google’s TPU™
  14. 14. Devices Fleet Gateways LESS Data Cloud Infrastructure Storage Network Nodes Analytics AI / ML / DL Ingestion Functions Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU LESS Data Data ...at the Edge... Presentation Application CPUs / GPUs
  15. 15. ...and in the Cloud Fetch Clean Prepare Train Model Evaluate Model Monitor / Prediction / Projection Tune Model Parameters Deploy Updated Model ★ continuous deploy/optimization of training model ★ update remotely OTA in real-time ★ on selected group of devices
  16. 16. Devices Fleet Gateways Data Cloud Infrastructure Storage Network Nodes Analytics AI / ML / DL Ingestion Presentation Functions Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU Data Data Application ...and in the Cloud Update config & deploy new ML model Update config & deploy new ML model Review CPUs / GPUs
  17. 17. Devices Fleet Gateways Data Cloud Infrastructure Storage CPUs / GPUs Network Nodes Analytics AI / ML / DL Ingestion Presentation Functions Edge Techs Tracking Neural Network Deep Learning CPU / GPU / TPU Data Data Application ...and in the Cloud Control Update config & deploy new ML model Review
  18. 18. eu.mouser.com/new/google/edge-tpu-accelerator eu.mouser.com/new/google/edge-tpu-dev-board eu.mouser.com/intel-neural-compute-stick-2 eu.mouser.com/new/Intel/intel-movidius-stick eu.mouser.com/aaeon-up-ai-core eu.mouser.com/aaeon-up-ai-core-x
  19. 19. and Enjoy Codemotion Amsterdam That’s all, Folks! Thank You

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